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Near-infrared reflectance of spectroscopy (NIRS) calibrations for non-destructive assessment of quality trains in intact seeds of Brassica junecea L.

发表日期 June 24, 2023 (DOI: https://doi.org/10.54985/peeref.2306p7178732)

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作者

Sanjula Sharma1 , Harshdeep Kaur Mundi1 , Harjeevan Kaur1 , Jomika Devi1 , Chhaya Atri1 , Surinder Singh Banga1
  1. Punjab Agricultural University

会议/活动

Symposium on ‘Transforming the Green Revolution Hub of India: Innovations in Crop Breeding, Resource Management and Policy’, August 2022 (Ludhiana, India)

海报摘要

This work aims to develop NIRS -based prediction method as a speedy alternative for measuring quality traits, otherwise assessed using chemical methods that are often time-consuming, labor-intensive, and dangerous to health. The statistical results obtained demonstrated the efficacy of the newly developed NIRS model for accurately predicting the oil, core fatty acids, and tocopherol (α-, γ-, total) contents in Brassica oilseeds. Correlation coefficients (RSQ) of the external validations appeared greater than 0.7 for the majority of traits, such as oil (0.7), eicosenoic acid (0.716), erucic (0.870), α-tocopherol (0.796), γ-tocopherol (0.975) and total tocopherol (0.946) for B. juncea. The outcomes of the study will assist in precise screening and selection for superior quality lines in Brassica breeding programs.

关键词

Chemical methods, Erucic acid, Tocopherols, Plant breeding

研究领域

Agriculture, Biochemistry, Plant Sciences

参考文献

  1. Appelqvist L A (1968). Lipids in Cruciferae: II. Fatty acid composition of Brassica napus seed as affected by nitrogen, phosphorus, potassium and sulfur nutrition of the plants. Physiol Plant 21: 455-65.
  2. Fritsche S, Wang X, Li J, Stich B, Kopisch-Obuch F J, Endrigkeit J, Leckband G, Dreyer F, Friedt W, Meng J & Jung C (2012) A candidate gene-based association study of tocopherol content and composition in rapeseed (Brassica napus). Front Plant Sci 3: 129
  3. ISO 10565:1998 Oilseeds- Simultaneous determination of oil and water contents - Method using pulsed nuclear magnetic resonance spectrometry.

基金

暂无数据

补充材料

  1. video mp4 presentation   Download

附加信息

利益冲突
No competing interests were disclosed.
数据可用性声明
The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.
知识共享许可协议
Copyright © 2023 Sharma et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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引用
Sharma, S., Mundi, H., Kaur, H., Devi, J., Atri, C., Banga, S. Near-infrared reflectance of spectroscopy (NIRS) calibrations for non-destructive assessment of quality trains in intact seeds of Brassica junecea L. [not peer reviewed]. Peeref 2023 (poster).
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